Job Description
Summary
This role is pivotal in scaling our AI-driven Customer Service (CS) chat analysis. The specialist will manage data processing pipelines, optimize large language model (LLM) prompts, and collaborate closely with the existing project lead and cross-functional teams. The ultimate goal is to help expand classification coverage, drive bot adoption, and maintain high accuracy—all while ensuring faster delivery of new features and stakeholder requests.
Responsibilities:
- Work with data warehouse team, to maintain real time data pipeline of CS business domain, to ensure timely and high-quality data inputs to the AI models.
- Design, implement, and refine LLM prompts for enhanced attribution analysis of CS conversations.
- Work closely with Ops teams to increase the stability of LLM solutions in a cloud or on-prem environment.
- Conduct A/B testing and iterative improvements on LLM performance, and maintaining result accuracy.
- Develop and maintain back-end services and automation scripts using Java or Python, ensuring seamless integration with existing systems.
- Troubleshoot performance bottlenecks, optimize code, and safeguard data security and privacy.
- Collaborate with CS, BI, and SL teams to gather requirements, clarify feature demands, and communicate technical constraints.
- Maintain clear, concise documentation of data work flows, LLM prompt templates, and best practices.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- 5+ years of hands-on experience in Java data processing and pipeline development.
- Experience with SQL/NoSQL databases, ETL pipelines, and data workflow orchestration tools (e.g., Airflow).
- Proficient in Java / Python (at least one language) and Hive & Spark SQL programming languages.
- Hands-on experience with AWS, GCP, or Azure is a plus.
- Experience with LLM or NLP projects is highly desired
- Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.
- Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage.
Skills
- AWS
- Communications Skills
- Development
- Java
- Python
- Software Engineering
- Team Collaboration